India - Household Consumer Expenditure: NSS 61st Round, Schedule 1, July 2004 - June 2005
Reference ID | DDI-IND-MOSPI-NSSO-61Rnd-Sch1-July2004-June2005 |
Year | 2004 - 2005 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Aug 21, 2015
Last modified
Oct 23, 2015
Page views
580508
- Blocks 1,2 & 12_
Identification of s
ample household and
perception of househ
old regarding suffic
iency of food - Block 3 Part 1_House
hold Characteristics - Block 3 Part 2_House
hold Characteristics - Block 4_Person recor
ds - Block 5_Monthly cons
umption of food, pan
, tobacco and intoxi
cants - Block 6_Monthly cons
umption of fuel &
; light - Block 7_Consumption
of clothing - Block 8_Consumption
of footwear - Block 9_Expenditure
on education and med
ical (institutional)
goods and services - Block 10_Monthly exp
enditure on miscella
neous goods and serv
ices including medic
al (non-institutiona
l), rents and taxes - Block 11_Expenditure
for purchase and co
nstruction (includin
g repair and mainten
ance) of durable goo
ds for domestic use
Variable Groups
Household type with sector
(HH_Type)
File: Block 3 Part 1_Household Characteristics
File: Block 3 Part 1_Household Characteristics
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 124644 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
11 | self-employed in non-agriculture - rural | 17822 | 14.3% |
12 | agricultural labour - rural | 11554 | 9.3% |
13 | other labour - rural | 8621 | 6.9% |
14 | self-employed in agriculture - rural | 27936 | 22.4% |
19 | Others - rural | 13293 | 10.7% |
20 | invalid | 128 | 0.1% |
21 | self-employed - urban | 17742 | 14.2% |
22 | regular wage/salary earning - urban | 17454 | 14.0% |
23 | casual labour - urban | 5735 | 4.6% |
29 | Others - urban | 4359 | 3.5% |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Imputation and Derivation
This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".